diff --git a/implants/Cargo.toml b/implants/Cargo.toml index 3a6862e80..adac15a25 100644 --- a/implants/Cargo.toml +++ b/implants/Cargo.toml @@ -23,6 +23,7 @@ members = [ "lib/eldritch/stdlib/eldritch-libsys", "lib/eldritch/stdlib/eldritch-libtime", "lib/eldritch/eldritch", + "lib/eldritch/eldritch-lsp", "lib/portals/portal-stream", ] exclude = [ diff --git a/implants/lib/eldritch/eldritch-lsp/Cargo.toml b/implants/lib/eldritch/eldritch-lsp/Cargo.toml new file mode 100644 index 000000000..b9c20c20c --- /dev/null +++ b/implants/lib/eldritch/eldritch-lsp/Cargo.toml @@ -0,0 +1,15 @@ +[package] +name = "eldritch-lsp" +version = "0.1.0" +edition = "2021" + +[dependencies] +eldritch-core = { path = "../eldritch-core" } +tower-lsp = "0.20.0" +tokio = { version = "1.36", features = ["rt-multi-thread", "macros", "io-std", "fs"] } +walkdir = "2.5" +serde = { version = "1.0", features = ["derive"] } +serde_json = "1.0" +anyhow = "1.0" +log = "0.4" +env_logger = "0.11" diff --git a/implants/lib/eldritch/eldritch-lsp/src/linter.rs b/implants/lib/eldritch/eldritch-lsp/src/linter.rs new file mode 100644 index 000000000..7f6e3929d --- /dev/null +++ b/implants/lib/eldritch/eldritch-lsp/src/linter.rs @@ -0,0 +1,108 @@ +use eldritch_core::Stmt; +use tower_lsp::lsp_types::{Diagnostic, DiagnosticSeverity, Position, Range}; + +/// A trait defining a single linting rule. +/// +/// Rules follow a two-phase check for performance: +/// 1. `should_lint`: A lightweight string check. +/// 2. `check`: A deeper AST or full-text analysis. +pub trait LintRule: Send + Sync { + /// Returns the unique name of the rule (e.g., "no-forbidden-runes"). + fn name(&self) -> &'static str; + + /// Quickly determines if this rule is relevant for the given source code. + /// This optimization prevents expensive AST traversals for rules that definitely won't match. + fn should_lint(&self, _source: &str) -> bool { + // Default to true for safety, but implementations should override this + // with fast checks (e.g., source.contains("forbidden")) + true + } + + /// Runs the linting logic. + /// + /// * `ast`: The parsed AST, if available. Some lints might work purely on text. + /// * `source`: The raw source code. + fn check(&self, ast: Option<&[Stmt]>, source: &str) -> Vec; +} + +/// Registry to hold and manage all active lint rules. +pub struct LintRegistry { + rules: Vec>, +} + +impl LintRegistry { + pub fn new() -> Self { + Self { rules: Vec::new() } + } + + pub fn register(&mut self, rule: R) { + self.rules.push(Box::new(rule)); + } + + /// Runs all registered rules against the source/AST. + pub fn run(&self, ast: Option<&[Stmt]>, source: &str) -> Vec { + let mut diagnostics = Vec::new(); + + for rule in &self.rules { + if rule.should_lint(source) { + diagnostics.extend(rule.check(ast, source)); + } + } + + diagnostics + } +} + +impl Default for LintRegistry { + fn default() -> Self { + let mut registry = Self::new(); + registry.register(NoForbiddenRunes); + registry + } +} + +// --- Example Rule: NoForbiddenRunes --- + +struct NoForbiddenRunes; + +impl LintRule for NoForbiddenRunes { + fn name(&self) -> &'static str { + "no-forbidden-runes" + } + + fn should_lint(&self, source: &str) -> bool { + source.contains("vecna") + } + + fn check(&self, _ast: Option<&[Stmt]>, source: &str) -> Vec { + let mut diagnostics = Vec::new(); + + for (line_idx, line) in source.lines().enumerate() { + if let Some(col_idx) = line.find("vecna") { + let range = Range { + start: Position { + line: line_idx as u32, + character: col_idx as u32, + }, + end: Position { + line: line_idx as u32, + character: (col_idx + 5) as u32, // "vecna".len() + }, + }; + + diagnostics.push(Diagnostic { + range, + severity: Some(DiagnosticSeverity::WARNING), + code: Some(tower_lsp::lsp_types::NumberOrString::String( + self.name().to_string(), + )), + source: Some("eldritch-lint".to_string()), + message: "The use of 'vecna' is forbidden. It summons unwanted attention.".to_string(), + ..Default::default() + }); + } + } + + diagnostics + } +} diff --git a/implants/lib/eldritch/eldritch-lsp/src/main.rs b/implants/lib/eldritch/eldritch-lsp/src/main.rs new file mode 100644 index 000000000..cc28991fc --- /dev/null +++ b/implants/lib/eldritch/eldritch-lsp/src/main.rs @@ -0,0 +1,188 @@ +use tower_lsp::jsonrpc::Result; +use tower_lsp::lsp_types::*; +use tower_lsp::{Client, LanguageServer, LspService, Server}; +use std::collections::HashMap; +use std::sync::Arc; +use tokio::sync::RwLock; + +mod linter; +mod stdlib; + +use linter::LintRegistry; +use stdlib::StdlibIndex; +use eldritch_core::{Parser, Lexer}; + +struct Backend { + client: Client, + /// Registry of lint rules. + linter: LintRegistry, + /// Index of the standard library. + stdlib: Arc>, + /// In-memory cache of document contents. + documents: Arc>>, +} + +impl Backend { + async fn validate_document(&self, uri: Url, text: &str, version: Option) { + let mut diagnostics = Vec::new(); + + // 1. Parsing Phase (using eldritch-core) + let mut lexer = Lexer::new(text.to_string()); + let tokens = lexer.scan_tokens(); + + let mut parser = Parser::new(tokens); + let (ast_stmts, parse_errors) = parser.parse(); + + // 2. Syntax Error Diagnostics + for err in parse_errors { + // Convert Span to LSP Range + // eldritch_core::token::Span has {start, end, line}. + // This is slightly tricky because Span in `token.rs` only has `line` and byte indices. + // LSP needs line/character. + // Simplified mapping: we trust the `line` from Span, but we need to calculate `character`. + // Ideally, we'd use a line indexer. For "Best Effort", we can estimate or just highlight the line. + + // Note: `line` in Span is 1-based. LSP is 0-based. + let line_idx = err.span.line.saturating_sub(1) as u32; + + let range = Range { + start: Position { line: line_idx, character: 0 }, + end: Position { line: line_idx, character: u32::MAX }, // Highlight full line if column unknown + }; + + diagnostics.push(Diagnostic { + range, + severity: Some(DiagnosticSeverity::ERROR), + code: Some(NumberOrString::String("syntax-error".to_string())), + source: Some("eldritch-parser".to_string()), + message: err.message, + ..Default::default() + }); + } + + // 3. Linting Phase (Best Effort) + // Pass the AST if parsing succeeded partially (ast_stmts might contain valid stmts even with errors). + let lint_diags = self.linter.run(Some(&ast_stmts), text); + diagnostics.extend(lint_diags); + + // 4. Publish Diagnostics + self.client.publish_diagnostics(uri, diagnostics, version).await; + } +} + +#[tower_lsp::async_trait] +impl LanguageServer for Backend { + async fn initialize(&self, params: InitializeParams) -> Result { + let root_uri = params.root_uri.or_else(|| { + params.root_path.map(|path| Url::from_file_path(path).unwrap()) + }); + + if let Some(uri) = root_uri { + if let Ok(path) = uri.to_file_path() { + // Heuristic: stdlib is at implants/lib/eldritch/stdlib + // We assume the workspace root is the repo root. + // Or we look for the stdlib relative to workspace. + let stdlib_path = path.join("implants/lib/eldritch/stdlib"); + + let stdlib_ref = self.stdlib.clone(); + tokio::spawn(async move { + let mut index = stdlib_ref.write().await; + index.scan(stdlib_path); + }); + } + } + + Ok(InitializeResult { + capabilities: ServerCapabilities { + text_document_sync: Some(TextDocumentSyncCapability::Kind( + TextDocumentSyncKind::FULL, + )), + completion_provider: Some(CompletionOptions { + trigger_characters: Some(vec![".".to_string(), ":".to_string()]), + ..Default::default() + }), + ..Default::default() + }, + ..Default::default() + }) + } + + async fn initialized(&self, _: InitializedParams) { + self.client + .log_message(MessageType::INFO, "Eldritch LSP initialized!") + .await; + } + + async fn shutdown(&self) -> Result<()> { + Ok(()) + } + + async fn did_open(&self, params: DidOpenTextDocumentParams) { + let uri = params.text_document.uri.clone(); + let text = params.text_document.text.clone(); + let version = Some(params.text_document.version); + + self.documents.write().await.insert(uri.clone(), text.clone()); + self.validate_document(uri, &text, version).await; + } + + async fn did_change(&self, params: DidChangeTextDocumentParams) { + let uri = params.text_document.uri; + let version = Some(params.text_document.version); + // We use Full sync, so the first change event has the full text + if let Some(change) = params.content_changes.into_iter().next() { + self.documents.write().await.insert(uri.clone(), change.text.clone()); + self.validate_document(uri, &change.text, version).await; + } + } + + async fn completion(&self, _params: CompletionParams) -> Result> { + // Context-aware completion logic + // For now, we mix in: + // 1. Stdlib modules + // 2. Keywords (Safe Mode fallback) + + let stdlib = self.stdlib.read().await; + let mut items = Vec::new(); + + // Add Stdlib modules + for module in stdlib.get_completions() { + items.push(CompletionItem { + label: module, + kind: Some(CompletionItemKind::MODULE), + detail: Some("Standard Library".to_string()), + ..Default::default() + }); + } + + // Add Keywords + let keywords = vec![ + "def", "if", "else", "for", "while", "return", "import", "true", "false", "none" + ]; + for kw in keywords { + items.push(CompletionItem { + label: kw.to_string(), + kind: Some(CompletionItemKind::KEYWORD), + ..Default::default() + }); + } + + Ok(Some(CompletionResponse::Array(items))) + } +} + +#[tokio::main] +async fn main() { + env_logger::init(); + + let stdin = tokio::io::stdin(); + let stdout = tokio::io::stdout(); + + let (service, socket) = LspService::new(|client| Backend { + client, + linter: LintRegistry::default(), + stdlib: Arc::new(RwLock::new(StdlibIndex::new())), + documents: Arc::new(RwLock::new(HashMap::new())), + }); + Server::new(stdin, stdout, socket).serve(service).await; +} diff --git a/implants/lib/eldritch/eldritch-lsp/src/stdlib.rs b/implants/lib/eldritch/eldritch-lsp/src/stdlib.rs new file mode 100644 index 000000000..db4f95e6c --- /dev/null +++ b/implants/lib/eldritch/eldritch-lsp/src/stdlib.rs @@ -0,0 +1,68 @@ +use std::collections::HashSet; +use std::path::PathBuf; +use walkdir::WalkDir; + +/// Manages an index of the Eldritch Standard Library. +/// +/// This index allows the LSP to be aware of available standard library modules +/// and functions, enabling context-aware autocompletion even when files are +/// not explicitly imported in the current workspace. +#[derive(Debug)] +pub struct StdlibIndex { + /// A set of known module names (e.g., "http", "file", "sys"). + /// In a real implementation, this might map names to function signatures. + pub modules: HashSet, +} + +impl StdlibIndex { + pub fn new() -> Self { + Self { + modules: HashSet::new(), + } + } + + /// Recursively scans the given root path for Eldritch standard library modules. + /// + /// It looks for files with `.eldritch` extension or directories that imply module structure. + /// For this simplified implementation, we assume directories in `stdlib/` represent modules + /// (e.g. `stdlib/eldritch-libhttp` -> "http"). + pub fn scan(&mut self, root_path: PathBuf) { + log::info!("Scanning stdlib at {:?}", root_path); + + for entry in WalkDir::new(&root_path) + .min_depth(1) + .max_depth(2) // optimize: stdlib structure is shallow + .into_iter() + .filter_map(|e| e.ok()) + { + let path = entry.path(); + if path.is_dir() { + if let Some(dir_name) = path.file_name().and_then(|n| n.to_str()) { + if dir_name.starts_with("eldritch-lib") { + let module_name = dir_name.trim_start_matches("eldritch-lib"); + if !module_name.is_empty() { + self.modules.insert(module_name.to_string()); + log::debug!("Found stdlib module: {}", module_name); + } + } + } + } + } + + // Add hardcoded core modules if scanning fails or structure is different + if self.modules.is_empty() { + log::warn!("Stdlib scan yielded no results. Using fallback core modules."); + let defaults = vec!["agent", "assets", "crypto", "file", "http", "pivot", "process", "random", "regex", "report", "sys", "time"]; + for m in defaults { + self.modules.insert(m.to_string()); + } + } + } + + /// Returns a list of all known module names for autocompletion. + pub fn get_completions(&self) -> Vec { + let mut completions: Vec = self.modules.iter().cloned().collect(); + completions.sort(); + completions + } +} diff --git a/vscode/vscode-tome-builder/.gitignore b/vscode/vscode-tome-builder/.gitignore new file mode 100644 index 000000000..9a3d6d6f9 --- /dev/null +++ b/vscode/vscode-tome-builder/.gitignore @@ -0,0 +1,5 @@ +out/ +dist/ +node_modules/ +.vscode-test/ +*.vsix diff --git a/vscode/vscode-tome-builder/.vscode/launch.json b/vscode/vscode-tome-builder/.vscode/launch.json new file mode 100644 index 000000000..6b7fcd2e1 --- /dev/null +++ b/vscode/vscode-tome-builder/.vscode/launch.json @@ -0,0 +1,13 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Run Extension", + "type": "extensionHost", + "request": "launch", + "args": [ + "--extensionDevelopmentPath=${workspaceFolder}" + ] + } + ] +} \ No newline at end of file diff --git a/vscode/vscode-tome-builder/README.md b/vscode/vscode-tome-builder/README.md new file mode 100644 index 000000000..d558f3025 --- /dev/null +++ b/vscode/vscode-tome-builder/README.md @@ -0,0 +1,76 @@ +# Realm Tome Builder VS Code Extension + +**Tome Builder** is an AI-powered VS Code extension designed to assist operators and developers in creating **Realm Tomes**. It leverages the **Gemini API** and a local **Model Context Protocol (MCP)** server to provide expert guidance, documentation, and syntax validation for the **Eldritch DSL**. + +## Features + +* **AI Chat Assistant**: Interact with an "Expert Tome Developer" persona to generate Tome logic and configuration. +* **Context-Aware**: The AI has access to up-to-date Eldritch documentation and real-world Tome examples via the embedded MCP server. +* **One-Click Save**: Easily save generated `metadata.yml` and `main.eldritch` code blocks directly to your workspace. +* **Model Selection**: Dynamically list and select available Gemini models (e.g., `gemini-2.0-flash-exp`) compatible with your API key. +* **Syntax Validation**: The AI validates generated code structure before presenting it to you. + +## Architecture + +This extension utilizes a **Model Context Protocol (MCP)** architecture: + +1. **VS Code Extension**: Provides the Chat UI and manages the lifecycle of the MCP server. +2. **MCP Server** (Local): A Node.js server running locally that exposes: + * `get_documentation`: Eldritch and Tome reference materials. + * `get_tome_examples`: Best-practice examples (e.g., file writing, service persistence). + * `validate_tome_structure`: Basic structural validation for Tomes. +3. **LLM (Gemini)**: The extension connects to Google's Gemini API, using the MCP client to call tools on the local server. + +## Installation & Setup + +### Prerequisites + +* Node.js (v18+) +* npm + +### Building from Source + +1. **Clone the repository** and navigate to the extension folder: + ```bash + cd vscode-tome-builder + ``` + +2. **Install Dependencies**: + You need to install dependencies for both the extension and the internal MCP server. + ```bash + # Install extension dependencies + npm install + + # Install MCP server dependencies and build it + cd mcp-server + npm install + npm run build + cd .. + ``` + +3. **Compile the Extension**: + ```bash + npm run compile + ``` + +### Configuration + +Before using the extension, you must provide your Google Gemini API Key. + +1. Open VS Code Settings (`Ctrl+,` or `Cmd+,`). +2. Search for **Tome Builder**. +3. Enter your key in **Tome Builder > Llm: Api Key**. +4. (Optional) You can select a default model in **Tome Builder > Llm: Model**, or use the dropdown in the chat interface. + +## Usage + +1. Open the **Tome Builder** view from the Activity Bar (beaker icon). +2. Type a request in the chat, for example: + > "Create a tome that installs a systemd service to run /usr/bin/myimplant." +3. The AI will analyze your request, consult documentation/examples if needed, and generate the required files. +4. Click the **Save** button above the code blocks to save `metadata.yml` and `main.eldritch` to your current workspace. + +## Troubleshooting + +* **"MCP Client not connected"**: Ensure you ran `npm run build` in the `mcp-server` directory. The extension relies on `mcp-server/dist/index.js` existing. +* **404 Model Not Found**: The configured model might not be available in your region or for your API key tier. 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{ + "typescript": "^5.0.0", + "@types/node": "^18.0.0" + } +} diff --git a/vscode/vscode-tome-builder/mcp-server/src/docs.ts b/vscode/vscode-tome-builder/mcp-server/src/docs.ts new file mode 100644 index 000000000..617eb8cef --- /dev/null +++ b/vscode/vscode-tome-builder/mcp-server/src/docs.ts @@ -0,0 +1,39 @@ +import * as fs from 'fs'; +import * as path from 'path'; + +function findRepoRoot(): string | null { + let currentDir = __dirname; + while (currentDir !== path.parse(currentDir).root) { + if (fs.existsSync(path.join(currentDir, 'go.mod'))) { + // Found the repo root (assuming go.mod exists in root, which it does in this repo) + return currentDir; + } + if (fs.existsSync(path.join(currentDir, '.git'))) { + return currentDir; + } + currentDir = path.dirname(currentDir); + } + return null; +} + +const REPO_ROOT = findRepoRoot(); + +function readDocFile(relativePath: string): string { + if (!REPO_ROOT) { + return "Error: Could not locate repository root. Ensure you are running this in the realm repository."; + } + const fullPath = path.join(REPO_ROOT, relativePath); + try { + return fs.readFileSync(fullPath, 'utf-8'); + } catch (e) { + return `Error reading file ${fullPath}: ${e}`; + } +} + +export function getTomesDoc(): string { + return readDocFile('docs/_docs/user-guide/tomes.md'); +} + +export function getEldritchDoc(): string { + return readDocFile('docs/_docs/user-guide/eldritch.md'); +} diff --git a/vscode/vscode-tome-builder/mcp-server/src/examples.ts b/vscode/vscode-tome-builder/mcp-server/src/examples.ts new file mode 100644 index 000000000..2d665f250 --- /dev/null +++ b/vscode/vscode-tome-builder/mcp-server/src/examples.ts @@ -0,0 +1,47 @@ +import * as fs from 'fs'; +import * as path from 'path'; + +function findRepoRoot(): string | null { + let currentDir = __dirname; + while (currentDir !== path.parse(currentDir).root) { + if (fs.existsSync(path.join(currentDir, 'go.mod'))) { + return currentDir; + } + if (fs.existsSync(path.join(currentDir, '.git'))) { + return currentDir; + } + currentDir = path.dirname(currentDir); + } + return null; +} + +const REPO_ROOT = findRepoRoot(); + +function readExample(tomeName: string): { metadata: string, script: string } { + if (!REPO_ROOT) { + return { + metadata: "Error: Could not locate repository root.", + script: "Error: Could not locate repository root." + }; + } + + const tomeDir = path.join(REPO_ROOT, `tavern/tomes/${tomeName}`); + try { + const metadata = fs.readFileSync(path.join(tomeDir, 'metadata.yml'), 'utf-8'); + const script = fs.readFileSync(path.join(tomeDir, 'main.eldritch'), 'utf-8'); + return { metadata, script }; + } catch (e) { + return { + metadata: `Error reading example ${tomeName}: ${e}`, + script: `Error reading example ${tomeName}: ${e}` + }; + } +} + +export function getFileWriteExample() { + return readExample('file_write'); +} + +export function getPersistServiceExample() { + return readExample('persist_service'); +} diff --git a/vscode/vscode-tome-builder/mcp-server/src/index.ts b/vscode/vscode-tome-builder/mcp-server/src/index.ts new file mode 100644 index 000000000..6c088eb2d --- /dev/null +++ b/vscode/vscode-tome-builder/mcp-server/src/index.ts @@ -0,0 +1,204 @@ +import { Server } from "@modelcontextprotocol/sdk/server/index.js"; +import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; +import { + CallToolRequestSchema, + ListToolsRequestSchema, + Tool, +} from "@modelcontextprotocol/sdk/types.js"; +import { z } from "zod"; +import * as fs from 'fs'; +import * as path from 'path'; + +// --- Helper Functions for Runtime File Reading --- + +function findRepoRoot(): string | null { + let currentDir = __dirname; + while (currentDir !== path.parse(currentDir).root) { + if (fs.existsSync(path.join(currentDir, 'go.mod'))) { + return currentDir; + } + if (fs.existsSync(path.join(currentDir, '.git'))) { + return currentDir; + } + currentDir = path.dirname(currentDir); + } + return null; +} + +const REPO_ROOT = findRepoRoot(); + +function readDocFile(relativePath: string): string { + if (!REPO_ROOT) { + return "Error: Could not locate repository root. Ensure you are running this in the realm repository."; + } + const fullPath = path.join(REPO_ROOT, relativePath); + try { + return fs.readFileSync(fullPath, 'utf-8'); + } catch (e) { + return `Error reading file ${fullPath}: ${e}`; + } +} + +function readExample(tomeName: string): { metadata: string, script: string } { + if (!REPO_ROOT) { + return { + metadata: "Error: Could not locate repository root.", + script: "Error: Could not locate repository root." + }; + } + + const tomeDir = path.join(REPO_ROOT, `tavern/tomes/${tomeName}`); + try { + const metadata = fs.readFileSync(path.join(tomeDir, 'metadata.yml'), 'utf-8'); + const script = fs.readFileSync(path.join(tomeDir, 'main.eldritch'), 'utf-8'); + return { metadata, script }; + } catch (e) { + return { + metadata: `Error reading example ${tomeName}: ${e}`, + script: `Error reading example ${tomeName}: ${e}` + }; + } +} + +// --- Server Setup --- + +const server = new Server( + { + name: "tome-builder", + version: "1.0.0", + }, + { + capabilities: { + tools: {}, + }, + } +); + +// Define Tools +const getDocumentationTool: Tool = { + name: "get_documentation", + description: "Get documentation for Tomes or Eldritch language.", + inputSchema: { + type: "object", + properties: { + topic: { + type: "string", + enum: ["tomes", "eldritch"], + description: "The topic to retrieve documentation for." + } + }, + required: ["topic"] + } +}; + +const getTomeExamplesTool: Tool = { + name: "get_tome_examples", + description: "Get example Tomes to understand structure and best practices. Returns metadata and script content.", + inputSchema: { + type: "object", + properties: { + topic: { + type: "string", + enum: ["file_write", "persist_service"], + description: "The example to retrieve. 'file_write' is simple, 'persist_service' is complex (templates, os checks)." + } + }, + required: ["topic"] + } +}; + +const validateTomeStructureTool: Tool = { + name: "validate_tome_structure", + description: "Validate the structure of a Tome (metadata.yml and main.eldritch).", + inputSchema: { + type: "object", + properties: { + yaml_content: { type: "string" }, + script_content: { type: "string" } + }, + required: ["yaml_content", "script_content"] + } +}; + +server.setRequestHandler(ListToolsRequestSchema, async () => { + return { + tools: [getDocumentationTool, getTomeExamplesTool, validateTomeStructureTool] + }; +}); + +server.setRequestHandler(CallToolRequestSchema, async (request) => { + const { name, arguments: args } = request.params; + + if (name === "get_documentation") { + const topic = (args as any).topic; + if (topic === "tomes") { + return { + content: [{ type: "text", text: readDocFile('docs/_docs/user-guide/tomes.md') }], + }; + } else if (topic === "eldritch") { + return { + content: [{ type: "text", text: readDocFile('docs/_docs/user-guide/eldritch.md') }], + }; + } + return { content: [], isError: true }; + } + + if (name === "get_tome_examples") { + const topic = (args as any).topic; + if (topic === "file_write") { + const example = readExample('file_write'); + return { + content: [ + { type: "text", text: "## metadata.yml\n" + example.metadata }, + { type: "text", text: "## main.eldritch\n" + example.script } + ] + }; + } else if (topic === "persist_service") { + const example = readExample('persist_service'); + return { + content: [ + { type: "text", text: "## metadata.yml\n" + example.metadata }, + { type: "text", text: "## main.eldritch\n" + example.script } + ] + }; + } + return { content: [], isError: true }; + } + + if (name === "validate_tome_structure") { + const yaml_content = (args as any).yaml_content; + const script_content = (args as any).script_content; + + const errors: string[] = []; + + if (!yaml_content.includes("name:")) errors.push("metadata.yml missing 'name'"); + if (!yaml_content.includes("description:")) errors.push("metadata.yml missing 'description'"); + if (!yaml_content.includes("tactic:")) errors.push("metadata.yml missing 'tactic'"); + + if (!script_content.includes("def main")) errors.push("main.eldritch missing 'def main' function"); + + if (errors.length > 0) { + return { + content: [{ type: "text", text: "Validation Failed:\n" + errors.join("\n") }], + isError: true + }; + } + + return { + content: [{ type: "text", text: "Validation Passed! The structure looks correct." }] + }; + } + + throw new Error(`Tool not found: ${name}`); +}); + +async function main() { + const transport = new StdioServerTransport(); + await server.connect(transport); + console.error("Tome MCP Server running on stdio"); +} + +main().catch((error) => { + console.error("Fatal error in main():", error); + process.exit(1); +}); diff --git a/vscode/vscode-tome-builder/mcp-server/tsconfig.json b/vscode/vscode-tome-builder/mcp-server/tsconfig.json new file mode 100644 index 000000000..a73182f83 --- /dev/null +++ b/vscode/vscode-tome-builder/mcp-server/tsconfig.json @@ -0,0 +1,12 @@ +{ + "compilerOptions": { + "module": "commonjs", + "target": "es2020", + "outDir": "dist", + "lib": ["es2020"], + "sourceMap": true, + "rootDir": "src", + "strict": true, + "esModuleInterop": true + } +} diff --git a/vscode/vscode-tome-builder/media/highlight.css b/vscode/vscode-tome-builder/media/highlight.css new file mode 100644 index 000000000..7f6fe11cc --- /dev/null +++ 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{ + "tome-builder-view": [ + { + "id": "tome-builder-chat", + "name": "Chat", + "type": "webview" + } + ] + }, + "configuration": { + "title": "Tome Builder", + "properties": { + "tomeBuilder.llm.provider": { + "type": "string", + "enum": [ + "gemini", + "openai", + "anthropic" + ], + "default": "gemini", + "description": "The LLM provider to use." + }, + "tomeBuilder.llm.model": { + "type": "string", + "default": "gemini-2.0-flash-exp", + "description": "The model ID to use." + }, + "tomeBuilder.llm.apiKey": { + "type": "string", + "default": "", + "description": "API Key for the LLM provider." + } + } + } + }, + "scripts": { + "vscode:prepublish": "npm run compile", + "compile": "tsc -p ./", + "watch": "tsc -watch -p ./" + }, + "devDependencies": { + "@types/node": "^18.0.0", + "@types/vscode": "^1.80.0", + "typescript": "^5.0.0" + }, + "dependencies": { + "@google/generative-ai": "^0.24.1", + "@modelcontextprotocol/sdk": "^0.6.1", + "zod": "^3.25.76" + } +} diff --git a/vscode/vscode-tome-builder/src/extension.ts b/vscode/vscode-tome-builder/src/extension.ts new file mode 100644 index 000000000..52275a173 --- /dev/null +++ b/vscode/vscode-tome-builder/src/extension.ts @@ -0,0 +1,37 @@ +import * as vscode from 'vscode'; +import { ChatPanel } from './panels/ChatPanel'; +import { McpClientService } from './services/McpClientService'; + +let mcpService: McpClientService; + +export async function activate(context: vscode.ExtensionContext) { + console.log('Tome Builder extension is now active!'); + + // Start MCP Service + mcpService = new McpClientService(context); + try { + await mcpService.start(); + } catch (e) { + vscode.window.showErrorMessage(`Failed to start MCP Server: ${e}`); + } + + // Register View + const provider = new ChatPanel(context.extensionUri, context, mcpService); + + context.subscriptions.push( + vscode.window.registerWebviewViewProvider(ChatPanel.viewType, provider) + ); + + context.subscriptions.push( + vscode.commands.registerCommand('tomeBuilder.openChat', () => { + // Focus the view + vscode.commands.executeCommand('workbench.view.extension.tome-builder-view'); + }) + ); +} + +export async function deactivate() { + if (mcpService) { + await mcpService.stop(); + } +} diff --git a/vscode/vscode-tome-builder/src/panels/ChatPanel.ts b/vscode/vscode-tome-builder/src/panels/ChatPanel.ts new file mode 100644 index 000000000..a55074ec9 --- /dev/null +++ b/vscode/vscode-tome-builder/src/panels/ChatPanel.ts @@ -0,0 +1,423 @@ +import * as vscode from 'vscode'; +import { McpClientService } from '../services/McpClientService'; +import { LlmService } from '../services/LlmService'; + +export class ChatPanel implements vscode.WebviewViewProvider { + public static readonly viewType = 'tome-builder-chat'; + private _view?: vscode.WebviewView; + private _llmService?: LlmService; + + constructor( + private readonly _extensionUri: vscode.Uri, + private readonly _context: vscode.ExtensionContext, + private readonly _mcpService: McpClientService + ) {} + + public resolveWebviewView( + webviewView: vscode.WebviewView, + context: vscode.WebviewViewResolveContext, + _token: vscode.CancellationToken, + ) { + this._view = webviewView; + webviewView.webview.options = { + enableScripts: true, + localResourceRoots: [ + this._extensionUri, + vscode.Uri.joinPath(this._extensionUri, 'media') + ] + }; + + webviewView.webview.html = this._getHtmlForWebview(webviewView.webview); + + webviewView.webview.onDidReceiveMessage(async (data) => { + switch (data.type) { + case 'init': { + await this._handleInit(); + break; + } + case 'userMessage': { + await this._handleUserMessage(data.value); + break; + } + case 'saveFile': { + await this._handleSaveFile(data.content, data.language); + break; + } + case 'modelSelected': { + await this._handleModelSelected(data.value); + break; + } + case 'log': { + console.log(`Webview Log: ${data.value}`); + break; + } + } + }); + } + + private async _handleInit() { + if (!this._view) return; + try { + const config = vscode.workspace.getConfiguration('tomeBuilder'); + const apiKey = config.get('llm.apiKey'); + const savedModel = config.get('llm.model') || 'gemini-2.0-flash-exp'; + + if (!apiKey) { + this._view.webview.postMessage({ type: 'addMessage', role: 'system', content: 'Please set your Gemini API Key in Settings (Tome Builder > Llm > Api Key).' }); + return; + } + + const client = this._mcpService.getClient(); + if (!client) { + this._view.webview.postMessage({ type: 'addMessage', role: 'error', content: 'MCP Client not connected. Check extension logs.' }); + return; + } + + if (!this._llmService) { + this._llmService = new LlmService(apiKey, client, savedModel); + } + + const models = await this._llmService.listAvailableModels(); + this._view.webview.postMessage({ type: 'setModels', models: models, current: savedModel }); + + } catch (e: any) { + console.error("Init failed:", e); + } + } + + private async _handleModelSelected(modelName: string) { + if (this._llmService) { + this._llmService.setModel(modelName); + await vscode.workspace.getConfiguration('tomeBuilder').update('llm.model', modelName, vscode.ConfigurationTarget.Global); + if (this._view) { + this._view.webview.postMessage({ type: 'addMessage', role: 'system', content: `Switched to model: ${modelName}` }); + } + } + } + + private async _handleSaveFile(content: string, language: string) { + let defaultName = 'untitled'; + if (language === 'yaml' || language === 'yml') defaultName = 'metadata.yml'; + if (language === 'python' || language === 'eldritch') defaultName = 'main.eldritch'; + + const uri = await vscode.window.showSaveDialog({ + defaultUri: vscode.Uri.file(defaultName), + saveLabel: 'Save Tome File', + filters: { + 'Tome Files': ['eldritch', 'yml', 'yaml'], + 'All Files': ['*'] + } + }); + + if (uri) { + await vscode.workspace.fs.writeFile(uri, Buffer.from(content, 'utf8')); + vscode.window.showInformationMessage(`Saved to ${uri.fsPath}`); + } + } + + private async _handleUserMessage(message: string) { + if (!this._view) return; + + try { + const config = vscode.workspace.getConfiguration('tomeBuilder'); + const apiKey = config.get('llm.apiKey'); + + if (!apiKey) { + this._view.webview.postMessage({ type: 'addMessage', role: 'system', content: 'Please set your Gemini API Key in Settings (Tome Builder > Llm > Api Key).' }); + return; + } + + if (!this._llmService) { + const client = this._mcpService.getClient(); + if (!client) { + this._view.webview.postMessage({ type: 'addMessage', role: 'error', content: 'MCP Client not connected. Check extension logs.' }); + return; + } + const model = config.get('llm.model') || 'gemini-2.0-flash-exp'; + this._llmService = new LlmService(apiKey, client, model); + } + + this._view.webview.postMessage({ type: 'setLoading', value: true }); + + const response = await this._llmService.sendMessage(message); + + this._view.webview.postMessage({ type: 'addMessage', role: 'assistant', content: response }); + + } catch (e: any) { + console.error(e); + let errorMsg = `Error: ${e.message || e}`; + if (e.message && e.message.includes("404")) { + errorMsg += "\n\nThe selected model might not be available. Please try selecting a different model from the dropdown above."; + } + this._view.webview.postMessage({ type: 'addMessage', role: 'error', content: errorMsg }); + } finally { + this._view.webview.postMessage({ type: 'setLoading', value: false }); + } + } + + private _getHtmlForWebview(webview: vscode.Webview) { + const scriptUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'media', 'highlight.js')); + const styleUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'media', 'highlight.css')); + + return ` + + + + + Tome Builder + + + + + + +
+
+ + +
+ + + `; + } +} diff --git a/vscode/vscode-tome-builder/src/services/LlmService.ts b/vscode/vscode-tome-builder/src/services/LlmService.ts new file mode 100644 index 000000000..28d1bdcf1 --- /dev/null +++ b/vscode/vscode-tome-builder/src/services/LlmService.ts @@ -0,0 +1,142 @@ +import { GoogleGenerativeAI } from "@google/generative-ai"; +import { Client } from "@modelcontextprotocol/sdk/client/index.js"; +import * as vscode from 'vscode'; + +export class LlmService { + private genAI: GoogleGenerativeAI; + private model: any; + private chatSession: any; + + constructor(private apiKey: string, private mcpClient: Client, private modelName: string = "gemini-2.0-flash-exp") { + this.genAI = new GoogleGenerativeAI(apiKey); + // Note: Gemini 2.0 might require specific beta API version or model string. + // Using standard getGenerativeModel. + this.model = this.genAI.getGenerativeModel({ + model: modelName, + systemInstruction: this._getSystemInstruction() + }); + } + + setModel(modelName: string) { + this.modelName = modelName; + this.model = this.genAI.getGenerativeModel({ + model: modelName, + systemInstruction: this._getSystemInstruction() + }); + this.chatSession = undefined; // Reset session + } + + private _getSystemInstruction(): string { + return "You are an expert Realm Tome developer. Your goal is to help users write 'Tomes' (Eldritch packages). " + + "You have access to tools to retrieve documentation and EXAMPLES. " + + "When asked to create a Tome, you MUST follow these steps:\n" + + "1. Check the documentation ('get_documentation') or examples ('get_tome_examples') to understand the syntax and structure.\n" + + "2. Generate TWO files: 'metadata.yml' and 'main.eldritch'.\n" + + "3. 'metadata.yml' must include name, description, tactic, and paramdefs.\n" + + "4. 'main.eldritch' is the logic script. It uses Starlark-based Eldritch DSL.\n" + + " - DO NOT use 'import' statements (e.g., 'import sys', 'import os' are FORBIDDEN). The standard library ('sys', 'file', 'process', etc.) is already loaded globally.\n" + + " - Use native Eldritch functions (e.g., 'file.write', 'sys.is_linux') instead of 'sys.shell' where possible for better OPSEC, but 'sys.shell' is allowed if necessary (e.g., for 'systemctl').\n" + + " - Use 'file.template' for configuration files if complex.\n" + + " - ALWAYS use 'eprint()' for printing error messages, and 'print()' for standard information.\n" + + "5. Use the 'validate_tome_structure' tool to verify your output before showing it to the user.\n" + + "6. Output the final code in markdown blocks: ```yaml for metadata and ```python for eldritch (for syntax highlighting)."; + } + + async listAvailableModels(): Promise { + try { + // The SDK doesn't export listModels directly on GoogleGenerativeAI, so we fetch manually. + // Documentation: https://ai.google.dev/api/rest/v1beta/models/list + const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models?key=${this.apiKey}`); + if (!response.ok) { + console.error(`Failed to list models: ${response.statusText}`); + return ["gemini-2.0-flash-exp", "gemini-1.5-pro", "gemini-1.5-flash"]; + } + const data = await response.json(); + if (data && data.models) { + return data.models + .map((m: any) => m.name.replace('models/', '')) + .filter((name: string) => name.includes('gemini')); + } + } catch (e) { + console.error("Error listing models:", e); + } + return ["gemini-2.0-flash-exp", "gemini-1.5-pro", "gemini-1.5-flash"]; + } + + async startSession() { + if (!this.mcpClient) throw new Error("MCP Client not initialized"); + + console.log("Listing tools from MCP..."); + const toolsList = await this.mcpClient.listTools(); + console.log(`Found ${toolsList.tools.length} tools.`); + + const tools = toolsList.tools.map((tool: any) => { + // Ensure inputSchema is clean for Gemini + return { + name: tool.name, + description: tool.description, + parameters: tool.inputSchema + }; + }); + + this.chatSession = this.model.startChat({ + tools: [{ functionDeclarations: tools }] + }); + console.log("Gemini Chat Session started."); + } + + async sendMessage(message: string): Promise { + if (!this.chatSession) await this.startSession(); + + console.log(`Sending message to Gemini: ${message}`); + let result = await this.chatSession.sendMessage(message); + let response = await result.response; + + let functionCalls = response.functionCalls(); + + while (functionCalls && functionCalls.length > 0) { + console.log("Model requested function calls:", functionCalls); + const functionResponses = []; + + for (const call of functionCalls) { + console.log(`Executing tool: ${call.name}`); + + try { + const mcpResult = await this.mcpClient.callTool({ + name: call.name, + arguments: call.args + }); + + // MCP returns content: [{ type: 'text', text: '...' }] + // We join them for the model + // @ts-ignore + const textContent = mcpResult.content.map((c: any) => c.text).join("\n"); + + console.log(`Tool ${call.name} executed successfully.`); + + functionResponses.push({ + functionResponse: { + name: call.name, + response: { content: textContent } + } + }); + } catch (e) { + console.error(`Error executing tool ${call.name}:`, e); + functionResponses.push({ + functionResponse: { + name: call.name, + response: { error: String(e) } + } + }); + } + } + + console.log("Sending function responses back to Gemini..."); + result = await this.chatSession.sendMessage(functionResponses); + response = await result.response; + functionCalls = response.functionCalls(); + } + + return response.text(); + } +} diff --git a/vscode/vscode-tome-builder/src/services/McpClientService.ts b/vscode/vscode-tome-builder/src/services/McpClientService.ts new file mode 100644 index 000000000..93524e0c6 --- /dev/null +++ b/vscode/vscode-tome-builder/src/services/McpClientService.ts @@ -0,0 +1,48 @@ +import { Client } from "@modelcontextprotocol/sdk/client/index.js"; +import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js"; +import * as vscode from 'vscode'; +import * as path from 'path'; + +export class McpClientService { + private client: Client | undefined; + private transport: StdioClientTransport | undefined; + + constructor(private context: vscode.ExtensionContext) {} + + async start() { + const serverPath = path.join(this.context.extensionUri.fsPath, 'mcp-server', 'dist', 'index.js'); + + console.log(`Starting MCP server at: ${serverPath}`); + + this.transport = new StdioClientTransport({ + command: "node", + args: [serverPath] + }); + + this.client = new Client( + { + name: "tome-builder-client", + version: "1.0.0", + }, + { + capabilities: {}, + } + ); + + try { + await this.client.connect(this.transport); + console.log("MCP Client connected to server"); + } catch (e) { + console.error("Failed to connect to MCP server:", e); + vscode.window.showErrorMessage(`Failed to connect to MCP Server: ${e}`); + } + } + + async stop() { + await this.transport?.close(); + } + + getClient(): Client | undefined { + return this.client; + } +} diff --git a/vscode/vscode-tome-builder/tsconfig.json b/vscode/vscode-tome-builder/tsconfig.json new file mode 100644 index 000000000..729bf2d4c --- /dev/null +++ b/vscode/vscode-tome-builder/tsconfig.json @@ -0,0 +1,20 @@ +{ + "compilerOptions": { + "module": "commonjs", + "target": "es2020", + "outDir": "out", + "lib": [ + "es2020", + "dom" + ], + "sourceMap": true, + "rootDir": "src", + "strict": true + }, + "exclude": [ + "node_modules", + ".vscode-test", + "mcp-server", + "scripts" + ] +}